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Public and Private Policy Change: Pension Reform in Four Countries

2007· article· en· W2037324592 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePolicy Studies Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRestructuringPensionLegislatureInstitutional changePrivate pensionPublic policyPolitical scienceEconomicsEconomic policyEconomic growthPublic administrationLaw

Abstract

fetched live from OpenAlex

This article offers a comparative, qualitative analysis of the changing nature of—and relationship between—public and private old age pensions in the United States, Canada, Britain, and Japan. Stressing the impact of institutional legacies on policy change, the article explains why these countries have taken contrasting paths toward the restructuring of public and private pension policies. The study finds that the four countries fall into two distinct clusters. On the one hand are Canada and the United States, which have essentially witnessed policy drift toward a greater reliance on private savings. On the other hand are Britain and Japan, which have reshaped their pension systems largely through legislative revision. The last section explains the differences between and within these two country clusters. The article concludes that institutional forces explain the distinctive policy patterns between the two country clusters but that it is necessary to bring in other factors (i.e., demographic aging, union density, and the role of ideas) to account for differences within each of these clusters.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.196
GPT teacher head0.432
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it